Basket Analysis is the most representative approach in recent study of data mining. However, it cannot be directly applied
to the data including numeric attributes. In this paper, we propose an algorithm and performance measures for the selection
and the discretization of numeric attributes in the data preprocessing stage for the wider application of Basket Analysis,
and the performance is evaluated through the application to the meningitis data.